-
EVENT 12-03-2021
Machine learning applications in transportation
-
NEWS 09-11-2020
SISCOG at the Virtual ITS European Congress
-
Paper
Optimising timetables with Machine Learning
SISCOG has just published a scientific paper addressing the optimisation of public transport timetables with respect to passenger’s total travel times, combining several techniques that have never been applied in the field, including reinforcement learning. The approach applied to real-world data pe… -
CASE STUDY
VIA RAIL Canada saves millions in optimised operation
SISCOG has released a case study that highlights the financial and management advantages of the decision-support and optimisation system used by the Canadian operator VIA RAIL. One of the benefits was a 10M CAD saving by reducing the need for one train set, while increasing overall passenger seat av… -
PAPER
Rescheduling in emergency scenarios
Unexpected events bring different levels of disruptions to our lives and to businesses. Public transport is no exception. And here, the impact may be multiple – on passengers, staff, revenue, and profit. -
Article
CREWS helps the Dutch Railways cope with extreme weather
-
Paper
The challenge of scheduling a safe arrival of trains
This challenge is addressed in the paper “The train frequency compatibility problem” co-authored by SISCOG. In the rail transport area, line planning is the widely studied problem of designing line plans for a public transportation system that meet given passenger demands. After the line planning p…